Function reference • markovchain

All functions
`ExpectedTime()`	Returns expected hitting time from state i to state j
`HigherOrderMarkovChain-class`	Higher order Markov Chains class
`absorptionProbabilities()`	Absorption probabilities
`blanden`	Mobility between income quartiles
`committorAB()`	Calculates committor of a markovchain object with respect to set A, B
`conditionalDistribution()`	`conditionalDistribution` of a Markov Chain
`craigsendi`	CD4 cells counts on HIV Infects between zero and six month
`ctmc-class`	Continuous time Markov Chains class
`ctmcFit()`	Function to fit a CTMC
`expectedRewards()`	Expected Rewards for a markovchain
`expectedRewardsBeforeHittingA()`	Expected first passage Rewards for a set of states in a markovchain
`firstPassage()`	First passage across states
`firstPassageMultiple()`	function to calculate first passage probabilities
`fitHighOrderMultivarMC()`	Function to fit Higher Order Multivariate Markov chain
`fitHigherOrder()` `seq2freqProb()` `seq2matHigh()`	Functions to fit a higher order Markov chain
`freq2Generator()`	Returns a generator matrix corresponding to frequency matrix
`generatorToTransitionMatrix()`	Function to obtain the transition matrix from the generator
`name()`	Method to retrieve name of markovchain object
`hittingProbabilities()`	Hitting probabilities for markovchain
`holson`	Holson data set
`hommc-class`	An S4 class for representing High Order Multivariate Markovchain (HOMMC)
`show(<hommc>)`	Function to display the details of hommc object
`ictmc-class`	An S4 class for representing Imprecise Continuous Time Markovchains
`impreciseProbabilityatT()`	Calculating full conditional probability using lower rate transition matrix
`inferHyperparam()`	Function to infer the hyperparameters for Bayesian inference from an a priori matrix or a data set
`is.CTMCirreducible()`	Check if CTMC is irreducible
`is.TimeReversible()`	checks if ctmc object is time reversible
`is.accessible()`	Verify if a state j is reachable from state i.
`is.irreducible()`	Function to check if a Markov chain is irreducible (i.e. ergodic)
`is.regular()`	Check if a DTMC is regular
`kullback`	Example from Kullback and Kupperman Tests for Contingency Tables
`markovchain-class`	Markov Chain class
`markovchain-package`	Easy Handling Discrete Time Markov Chains
`createSequenceMatrix()` `markovchainFit()`	Function to fit a discrete Markov chain
`markovchainList-class`	Non homogeneus discrete time Markov Chains class
`markovchainListFit()`	markovchainListFit
`markovchainSequence()`	Function to generate a sequence of states from homogeneous Markov chains.
`meanAbsorptionTime()`	Mean absorption time
`meanFirstPassageTime()`	Mean First Passage Time for irreducible Markov chains
`meanNumVisits()`	Mean num of visits for markovchain, starting at each state
`meanRecurrenceTime()`	Mean recurrence time
`multinomialConfidenceIntervals()`	A function to compute multinomial confidence intervals of DTMC
`names(<markovchain>)`	Returns the states for a Markov chain object
`noofVisitsDist()`	return a joint pdf of the number of visits to the various states of the DTMC
`predictHommc()`	Simulate a higher order multivariate markovchain
`predictiveDistribution()`	predictiveDistribution
`preproglucacon`	Preprogluccacon DNA protein bases sequences
`priorDistribution()`	priorDistribution
`probabilityatT()`	Calculating probability from a ctmc object
`rain`	Alofi island daily rainfall
`rctmc()`	rctmc
`rmarkovchain()`	Function to generate a sequence of states from homogeneous or non-homogeneous Markov chains.
`sales`	Sales Demand Sequences
`name<-`()	Method to set name of markovchain object
`states()`	Defined states of a transition matrix
`verifyMarkovProperty()` `assessOrder()` `assessStationarity()` `verifyEmpiricalToTheoretical()` `verifyHomogeneity()`	Various functions to perform statistical inference of DTMC
`steadyStates()`	Stationary states of a `markovchain` object
`period()` `communicatingClasses()` `recurrentClasses()` `transientClasses()` `transientStates()` `recurrentStates()` `absorbingStates()` `canonicForm()`	Various function to perform structural analysis of DTMC
`tm_abs`	Single Year Corporate Credit Rating Transititions
`transition2Generator()`	Return the generator matrix for a corresponding transition matrix
`transitionProbability()`	Function to get the transition probabilities from initial to subsequent states.

Reference

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